Identifying muscle hemorrhage in rat cadavers with advanced decomposition by FT-IR microspectroscopy combined with chemometrics

被引:10
|
作者
Zhang, Kai [1 ,2 ]
Zhang, Aidong [3 ]
Liu, Ruina [1 ]
Zhang, Haohui [1 ]
Lin, Hancheng [1 ]
Zhang, Ping [1 ]
Huang, Ping [2 ]
Wang, Zhenyuan [1 ]
机构
[1] Xi An Jiao Tong Univ, Coll Forens Med, Dept Forens Pathol, Xian 710061, Peoples R China
[2] Acad Forens Sci, Shanghai Forens Serv Platform, Shanghai Key Lab Forens Med, Shanghai 200063, Peoples R China
[3] Shaanxi Prov Publ Secur Bur, Xian 710016, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Forensic pathology; Muscle hemorrhage identification; Advanced decomposition; FT-IR microspectroscopy; PLS-DA; COMPUTATIONAL ANALYSIS; POSTMORTEM INTERVAL; RAMAN-SPECTROSCOPY; PULMONARY-EDEMA; IDENTIFICATION; ELUCIDATION; RESOLUTION; TISSUES;
D O I
10.1016/j.legalmed.2020.101748
中图分类号
DF [法律]; D9 [法律]; R [医药、卫生];
学科分类号
0301 ; 10 ;
摘要
The identification of muscle hemorrhage in a cadaver that is in an advanced stage of decomposition is an important but challenging task. Our study investigated whether Fourier transform infrared (FT-IR) microspectroscopy in conjunction with chemometrics could identify muscle hemorrhage using rat cadavers with advanced decomposition. In this study, an intramuscular blood injection method, instead of a mechanical injury method, was used to construct a muscle hemorrhage model, and the modeling idea of muscle hemorrhage identification was to discriminate and classify hemoglobin-leaking myofibrils from negative myofibrils. First, the optical images of hematoxylin/eosin (H&E) stained hemorrhagic muscle at different postmortem intervals (PMIs) were observed and showed that the morphological features of whole erythrocytes disappeared since the PMI of 4 d. Subsequently, principle component analysis (PCA) was performed and indicated that the biochemical differences in protein structures between fresh erythrocytes and myofibrils can be detected by the IR spectroscopic method. Ultimately, several classification models based on the partial least square discriminant analysis (PLS-DA) algorithm were successfully constructed for different PMIs and PMI ranges and achieved great prediction performances in external validations. This preliminary study demonstrates the feasibility of using FT-IR microspectroscopy combined with chemometrics as a potential approach for identifying muscle hemorrhage in cadavers with advanced decomposition for offering vital evidences in judicial process.
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页数:7
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